Case Study: Other
AI Foresight enhances an enterprise decision making capability
Software companies have always wanted to know the risk of a particular release beforehand and understand exactly where and why changes can be made to improve releases
The solution deploys Deep Learning (DL) to identify patterns in release pipelines, gauge the likelihood of software release success and recommend improvements in pipeline. Also to proactively answer questions like:
Are we going to finish our release on time? Can we move faster or can we do more? Will this release cause more or less quality issues? What’s the likelihood of a production deployment failure?
Initial success in release of a new software or application is paramount for stakeholders. This helps organizations confidently release new applications and adapt to change at any speed that the business demands. The analytics and insight measures, tracks, and improves their results on a continuous basis.